Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 439) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.18791,510
 2  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.000875123,595
 3  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.006723,595
 4  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.067523,595
 5  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.002723,595
 6  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1041221
 7  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0718221
 8  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0503221
 9  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Romania minority 0.24101,234
 10  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - France minority 0.16201,406
 11  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.06601,043
 12  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.14601,894
 13  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Croatia minority 0.10602,057
 14  A*01:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.14901,374
 15  A*01:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.096420,653
 16  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.14404,856
 17  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.091511,446
 18  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.07485,849
 19  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.06754,204
 20  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.08195,829
 21  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.04113,456,066
 22  A*01:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.04283,456,066
 23  A*01:104-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 24  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.21911,510
 25  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 26  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 27  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 28  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.011623,595
 29  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.008723,595
 30  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.015523,595
 31  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.004023,595
 32  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.002523,595
 33  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.179723,595
 34  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 35  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 36  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.007923,595
 37  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQA1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 38  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.5387120
 39  A*02:01:01-B*35:01:01-C*04:01-DRB1*01:01  South Africa Caucasians 1.6700102
 40  A*02:01-B*35:01-C*04:01-DRB1*01:01  Brazil Vale do Ribeira Quilombos 0.6944144
 41  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Austria minority 0.19801,698
 42  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.46101,374
 43  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Croatia minority 0.09102,057
 44  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.18101,894
 45  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.19701,043
 46  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - France minority 0.53301,406
 47  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Romania minority 0.43101,234
 48  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.54001,028
 49  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Spain minority 0.10201,107
 50  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Portugal minority 0.48001,176
 51  A*02:01-B*35:01-C*04:01-DRB1*01:01  Hong Kong Chinese BMDR 0.00667,595
 52  A*02:01-B*35:01-C*04:01-DRB1*01:01  Italy pop 5 0.7000975
 53  A*02:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.242520,653
 54  A*02:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 1.0000298
 55  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.19201,159
 56  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.11804,856
 57  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 58  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.05165,829
 59  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.019411,446
 60  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.7400975
 61  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 62  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.25335,926
 63  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Black South or Central American 0.10974,889
 64  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 65  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 66  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.02553,456,066
 67  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.02953,456,066
 68  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.10953,456,066
 69  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.19311,075
 70  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.12343,456,066
 71  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.51321,075
 72  A*02:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 73  A*02:05-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.02601,894
 74  A*02:05-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.00855,849
 75  A*02:06:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 76  A*02:06:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 77  A*02:06-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.000400020,653
 78  A*02:06-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.02855,829
 79  A*02:06-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.02082,403
 80  A*02:06-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 81  A*02:07-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 82  A*02:11-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.02601,894
 83  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.05952,492
 84  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.01035,849
 85  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.02165,829
 86  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.04182,403
 87  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.03994,204
 88  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.024611,446
 89  A*02:13-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03441,463
 90  A*02:22:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 91  A*02:50-B*35:01-C*04:01-DRB1*01:01-DQB1*06:04  Iran Gorgan 0.780064
 92  A*03:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 93  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 2.57951,510
 94  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 4.0457192
 95  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.2946120
 96  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Iran Baloch 1.7000100
 97  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Nicaragua Mestizo (G) 0.3226155
 98  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00565,266
 99  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 100  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 1 to 100 (from 439) records   Pages: 1 2 3 4 5 of 5  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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